=> Voltar ao início da disciplina/curso

 

MÓDULO IX : DESENVOLVIMENTO DO TRABALHO FINAL DA DISCIPLINA

 A) Identificar e ler  de um   Manual de Jornalismo de Dados para Redações (Ver disponibilidade na Web,  Applied Data Science )

 https://medium.com/volt-data-lab/manual-de-jornalismo-de-dados-para-reda%C3%A7%C3%B5es-v-1-0-908485625e63

 

B) Alocação da equipe de Trabalho Final   da Disciplina - TFD em: um modelo organizacional, distribuir tarefas, avaliar as capacidades de realização, usar métodos e modelos com transparência (v.1.0.)

https://medium.com/volt-data-lab/manual-de-jornalismo-de-dados-para-reda%C3%A7%C3%B5es-v-1-0-908485625e63

 

C) PROPOSTA DO ROTEIRO DE DESENVOLVIMENTO DO TFD (Life Cycle of a Data Science Project)

 

REFERÊNCIAS:

A) Ten SQL Concepts You Should Know for Data Science Interviews. SQL is extremely powerful and has a lot of functionality. When it comes to data science interviews, however, there are really only a handful of core concepts that most companies test. These 10 concepts show up the most often because they have the most application in real-life settings.

https://towardsdatascience.com/ten-sql-concepts-you-should-know-for-data-science-interviews-7acf3e428185

 

B) The University of Michigan School of Information’s online Master of Applied Data Science (MADS) degree is designed for aspiring data scientists to learn and apply skills through hands-on projects. You’ll learn how to use data to improve outcomes and achieve ambitious goals

https://www.coursera.org/degrees/master-of-applied-data-science-umich?utm_medium=email&utm_source=recommendations&utm_campaign=TlR9EDDCEeqnEClWfXMgdQ#requestinfo

C) Life Cycle of a Data Science Project

The major steps involved in tackling a real-world data science problem

https://towardsdatascience.com/life-cycle-of-a-data-science-project-3962b9670e5b